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体验新版 GitCode,发现更多精彩内容 >>
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7c4b9b57
编写于
4月 04, 2019
作者:
M
minqiyang
浏览文件
操作
浏览文件
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电子邮件补丁
差异文件
Polish code
test=develop
上级
aa07814d
变更
1
隐藏空白更改
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并排
Showing
1 changed file
with
30 addition
and
43 deletion
+30
-43
python/paddle/fluid/tests/unittests/test_layers.py
python/paddle/fluid/tests/unittests/test_layers.py
+30
-43
未找到文件。
python/paddle/fluid/tests/unittests/test_layers.py
浏览文件 @
7c4b9b57
...
...
@@ -882,6 +882,9 @@ class TestBook(LayerTest):
for
method
in
methods
:
if
not
method
.
__name__
.
startswith
(
'make_'
):
continue
self
.
_low_data_bound
=
0
self
.
_high_data_bound
=
2
self
.
_batch_size
=
2
self
.
_feed_dict
=
{}
self
.
_force_to_use_cpu
=
False
with
self
.
static_graph
():
...
...
@@ -909,15 +912,17 @@ class TestBook(LayerTest):
def
_get_np_data
(
self
,
shape
,
dtype
,
append_batch_size
=
True
):
np
.
random
.
seed
(
self
.
seed
)
if
append_batch_size
:
shape
=
[
2
]
+
shape
shape
=
[
self
.
_batch_size
]
+
shape
if
dtype
==
'float32'
:
return
np
.
random
.
random
(
shape
).
astype
(
dtype
)
elif
dtype
==
'float64'
:
return
np
.
random
.
random
(
shape
).
astype
(
dtype
)
elif
dtype
==
'int32'
:
return
np
.
random
.
randint
(
0
,
2
,
shape
).
astype
(
dtype
)
return
np
.
random
.
randint
(
self
.
_low_data_bound
,
self
.
_high_data_bound
,
shape
).
astype
(
dtype
)
elif
dtype
==
'int64'
:
return
np
.
random
.
randint
(
0
,
2
,
shape
).
astype
(
dtype
)
return
np
.
random
.
randint
(
self
.
_low_data_bound
,
self
.
_high_data_bound
,
shape
).
astype
(
dtype
)
def
_get_data
(
self
,
name
,
...
...
@@ -1313,12 +1318,10 @@ class TestBook(LayerTest):
return
(
output
)
def
make_mean_iou
(
self
):
# TODO(minqiyang): support gpu ut
self
.
_force_to_use_cpu
=
True
with
fluid
.
framework
.
_dygraph_place_guard
(
place
=
fluid
.
CPUPlace
()):
x
=
self
.
_get_data
(
name
=
'x'
,
shape
=
[
16
],
dtype
=
'int32'
)
y
=
self
.
_get_data
(
name
=
'label'
,
shape
=
[
1
],
dtype
=
'int32'
)
iou
=
layers
.
mean_iou
(
x
,
y
,
2
)
y
=
self
.
_get_data
(
name
=
'label'
,
shape
=
[
1
6
],
dtype
=
'int32'
)
iou
=
layers
.
mean_iou
(
x
,
y
,
self
.
_high_data_bound
)
return
(
iou
)
def
make_argsort
(
self
):
...
...
@@ -1614,11 +1617,11 @@ class TestBook(LayerTest):
out
=
layers
.
softshrink
(
input
,
name
=
'softshrink'
)
return
(
out
)
def
iou_similarity
(
self
):
def
make_
iou_similarity
(
self
):
with
program_guard
(
fluid
.
default_main_program
(),
fluid
.
default_startup_program
()):
x
=
self
.
_get_data
(
name
=
"x"
,
shape
=
[
16
],
dtype
=
"float32"
)
y
=
self
.
_get_data
(
name
=
"y"
,
shape
=
[
16
],
dtype
=
"float32"
)
x
=
self
.
_get_data
(
name
=
"x"
,
shape
=
[
4
],
dtype
=
"float32"
)
y
=
self
.
_get_data
(
name
=
"y"
,
shape
=
[
4
],
dtype
=
"float32"
)
out
=
layers
.
iou_similarity
(
x
,
y
,
name
=
'iou_similarity'
)
return
(
out
)
...
...
@@ -1668,9 +1671,16 @@ class TestBook(LayerTest):
def
make_kldiv_loss
(
self
):
with
program_guard
(
fluid
.
default_main_program
(),
fluid
.
default_startup_program
()):
x
=
self
.
_get_data
(
name
=
'x'
,
shape
=
[
32
,
128
,
128
],
dtype
=
"float32"
)
x
=
self
.
_get_data
(
name
=
'x'
,
shape
=
[
32
,
128
,
128
],
dtype
=
"float32"
,
append_batch_size
=
False
)
target
=
self
.
_get_data
(
name
=
'target'
,
shape
=
[
32
,
128
,
128
],
dtype
=
"float32"
)
name
=
'target'
,
shape
=
[
32
,
128
,
128
],
dtype
=
"float32"
,
append_batch_size
=
False
)
loss
=
layers
.
kldiv_loss
(
x
=
x
,
target
=
target
,
reduction
=
'batchmean'
)
return
(
loss
)
...
...
@@ -1688,7 +1698,7 @@ class TestBook(LayerTest):
out
=
layers
.
shuffle_channel
(
x
,
group
=
4
)
return
(
out
)
def
make_fsp
(
self
):
def
make_fsp
_matrix
(
self
):
with
program_guard
(
fluid
.
default_main_program
(),
fluid
.
default_startup_program
()):
x
=
self
.
_get_data
(
name
=
"X"
,
shape
=
[
16
,
4
,
4
],
dtype
=
"float32"
)
...
...
@@ -1696,6 +1706,13 @@ class TestBook(LayerTest):
out
=
layers
.
fsp_matrix
(
x
,
y
)
return
(
out
)
def
make_pixel_shuffle
(
self
):
with
program_guard
(
fluid
.
default_main_program
(),
fluid
.
default_startup_program
()):
x
=
self
.
_get_data
(
name
=
"X"
,
shape
=
[
9
,
4
,
4
],
dtype
=
"float32"
)
out
=
layers
.
pixel_shuffle
(
x
,
upscale_factor
=
3
)
return
(
out
)
def
test_dynamic_lstmp
(
self
):
# TODO(minqiyang): dygraph do not support lod now
with
self
.
static_graph
():
...
...
@@ -1908,36 +1925,6 @@ class TestBook(LayerTest):
out
=
layers
.
flatten
(
x
,
axis
=
1
,
name
=
"flatten"
)
return
(
out
)
def
test_kldiv_loss
(
self
):
with
program_guard
(
fluid
.
default_main_program
(),
fluid
.
default_startup_program
()):
x
=
layers
.
data
(
name
=
'x'
,
shape
=
[
32
,
128
,
128
],
dtype
=
"float32"
)
target
=
layers
.
data
(
name
=
'target'
,
shape
=
[
32
,
128
,
128
],
dtype
=
"float32"
)
loss
=
layers
.
kldiv_loss
(
x
=
x
,
target
=
target
,
reduction
=
'batchmean'
)
return
(
loss
)
def
test_temporal_shift
(
self
):
with
program_guard
(
fluid
.
default_main_program
(),
fluid
.
default_startup_program
()):
x
=
layers
.
data
(
name
=
"X"
,
shape
=
[
16
,
4
,
4
],
dtype
=
"float32"
)
out
=
layers
.
temporal_shift
(
x
,
seg_num
=
4
,
shift_ratio
=
0.2
)
return
(
out
)
def
test_shuffle_channel
(
self
):
with
program_guard
(
fluid
.
default_main_program
(),
fluid
.
default_startup_program
()):
x
=
layers
.
data
(
name
=
"X"
,
shape
=
[
16
,
4
,
4
],
dtype
=
"float32"
)
out
=
layers
.
shuffle_channel
(
x
,
group
=
4
)
return
(
out
)
def
test_pixel_shuffle
(
self
):
with
program_guard
(
fluid
.
default_main_program
(),
fluid
.
default_startup_program
()):
x
=
layers
.
data
(
name
=
"X"
,
shape
=
[
9
,
4
,
4
],
dtype
=
"float32"
)
out
=
layers
.
pixel_shuffle
(
x
,
upscale_factor
=
3
)
return
(
out
)
if
__name__
==
'__main__'
:
unittest
.
main
()
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